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» Probabilistic logic with independence
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ICML
2007
IEEE
14 years 9 months ago
Hierarchical Gaussian process latent variable models
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Neil D. Lawrence, Andrew J. Moore
ICCAD
2005
IEEE
105views Hardware» more  ICCAD 2005»
14 years 5 months ago
Weighted control scheduling
Abstract — This paper describes a practical technique for the optimal scheduling of control dominated systems minimizing the weighted average latency over all control branches. S...
Aravind Vijayakumar, Forrest Brewer
ICRA
2007
IEEE
138views Robotics» more  ICRA 2007»
14 years 3 months ago
Latency Analysis of Coalescence for Robot Groups
— Coalescence is the problem of isolated mobile robots independently searching for peers with the goal of forming a single connected network. This is important because communicat...
Sameera Poduri, Gaurav S. Sukhatme
ETFA
2006
IEEE
14 years 3 months ago
Advance in Multiply Sectioned Bayesian Networks: Sensor Network Practitioners' Perspective
Multiplysectioned Bayesian networks provide a probabilistic framework for reasoning about uncertain domains in cooperative multiagent systems. Several advances have been made in r...
Y. Xiang, K. Zhang
ICMCS
2006
IEEE
111views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Integration of Background Modeling and Object Tracking
Background model and tracking became critical components for many vision-based applications. Typically, background modeling and object tracking are mutually independent in many ap...
Yu-Ting Chen, Chu-Song Chen, Yi-Ping Hung